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Profiling divergences in GPU applications

https://doi.org/10.1002/cpe.2853
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/spe.4380211204openalex-snapshot
Using profile information to assist classic code optimizations
inferredcites →https://doi.org/10.1016/0022-2836(81)90087-5openalex-snapshot
Identification of common molecular subsequences
inferredcites →https://doi.org/10.1109/2.471178openalex-snapshot
The Paradyn parallel performance measurement tool
inferredcites →https://doi.org/10.1109/2.982916openalex-snapshot
Simics: A full system simulation platform
inferredcites →https://doi.org/10.1109/cgo.2011.5764682openalex-snapshot
Whole-function vectorization
inferredcites →https://doi.org/10.1109/iiswc.2009.5306797openalex-snapshot
Rodinia: A benchmark suite for heterogeneous computing
inferredcites →https://doi.org/10.1109/iiswc.2009.5306801openalex-snapshot
A characterization and analysis of PTX kernels
inferredcites →https://doi.org/10.1109/micro.2007.30openalex-snapshot
Dynamic Warp Formation and Scheduling for Efficient GPU Control Flow
inferredcites →https://doi.org/10.1109/mm.2008.57openalex-snapshot
Parallel Computing Experiences with CUDA
inferredcites →https://doi.org/10.1109/mm.2010.41openalex-snapshot
The GPU Computing Era
inferredcites →https://doi.org/10.1109/pact.2011.63openalex-snapshot
Divergence Analysis and Optimizations
inferredcites →https://doi.org/10.1109/sbac-pad.2010.38openalex-snapshot
Performance Debugging of GPGPU Applications with the Divergence Map
inferredcites →https://doi.org/10.1109/tip.2002.804276openalex-snapshot
Speckle reducing anisotropic diffusion
inferredcites →https://doi.org/10.1145/1250734.1250746openalex-snapshot
Valgrind
inferredcites →https://doi.org/10.1145/1330511.1330512openalex-snapshot
Synthesis and evaluation of linear motion transitions
inferredcites →https://doi.org/10.1145/1345206.1345220openalex-snapshot
Optimization principles and application performance evaluation of a multithreaded GPU using CUDA
inferredcites →https://doi.org/10.1145/1360612.1360617openalex-snapshot
Larrabee
inferredcites →https://doi.org/10.1145/1468075.1468121openalex-snapshot
Sorting networks and their applications
inferredcites →https://doi.org/10.1145/1504176.1504210openalex-snapshot
Effective performance measurement and analysis of multithreaded applications
inferredcites →https://doi.org/10.1145/1508244.1508260openalex-snapshot
Per-thread cycle accounting in SMT processors
inferredcites →https://doi.org/10.1145/1542476.1542525openalex-snapshot
Programming model for a heterogeneous x86 platform
inferredcites →https://doi.org/10.1145/1594835.1504194openalex-snapshot
OpenMP to GPGPU
inferredcites →https://doi.org/10.1145/1693453.1693470openalex-snapshot
An adaptive performance modeling tool for GPU architectures
inferredcites →https://doi.org/10.1145/1693453.1693471openalex-snapshot
Model-driven autotuning of sparse matrix-vector multiply on GPUs
inferredcites →https://doi.org/10.1145/1693453.1693473openalex-snapshot
CUDAlign
inferredcites →https://doi.org/10.1145/1772954.1772971openalex-snapshot
Efficient compilation of fine-grained SPMD-threaded programs for multicore CPUs
inferredcites →https://doi.org/10.1145/178243.178260openalex-snapshot
ATOM
inferredcites →https://doi.org/10.1145/1806596.1806618openalex-snapshot
Evaluating the accuracy of Java profilers
inferredcites →https://doi.org/10.1145/1950365.1950408openalex-snapshot
On-the-fly elimination of dynamic irregularities for GPU computing
inferredcites →https://doi.org/10.1145/1964179.1964184openalex-snapshot
Reducing branch divergence in GPU programs
inferredcites →https://doi.org/10.1145/277851.277900openalex-snapshot
Performance measurements for multithreaded programs
inferredcites →https://doi.org/10.1145/301104.301109openalex-snapshot
Dynamic instrumentation of threaded applications
inferredcites →https://doi.org/10.1145/800230.806987openalex-snapshot
Gprof
inferredcites →https://doi.org/10.5860/choice.29-3347openalex-snapshot
The art of computer systems performance analysis: techniques for experimental design, measurement, simulation, and modeling

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cpe.2904openalex-snapshot
Latest trends in computer architectures and parallel and distributed technologies
inferred← citeshttps://doi.org/10.1007/978-3-030-81641-4_10openalex-snapshot
Modular Functional Testing: Targeting the Small Embedded Memories in GPUs
inferred← citeshttps://doi.org/10.1007/978-3-031-98682-6_17openalex-snapshot
$$\textsf{GPUMC}$$: A Stateless Model Checker for GPU Weak Memory Concurrency
inferred← citeshttps://doi.org/10.1109/ipdps.2016.36openalex-snapshot
Eliminating Intra-Warp Load Imbalance in Irregular Nested Patterns via Collaborative Task Engagement
inferred← citeshttps://doi.org/10.1109/sbac-pad.2014.48openalex-snapshot
High-Performance Traffic Classification on GPU
inferred← citeshttps://doi.org/10.1109/tetc.2016.2546554openalex-snapshot
Pro++: A Profiling Framework for Primitive-Based GPU Programming
inferred← citeshttps://doi.org/10.1109/vlsi-soc46417.2020.9344088openalex-snapshot
Testing the Divergence Stack Memory on GPGPUs: A Modular in-Field Test Strategy
inferred← citeshttps://doi.org/10.1145/2523815openalex-snapshot
Divergence analysis
inferred← citeshttps://doi.org/10.1145/2830772.2830796openalex-snapshot
Efficient warp execution in presence of divergence with collaborative context collection
inferred← citeshttps://doi.org/10.1145/3018743.3018751openalex-snapshot
Function Call Re-Vectorization
inferred← citeshttps://doi.org/10.11606/t.55.2023.tde-20042023-104007openalex-snapshot
Modelo e critérios de teste estrutural para programas CUDA
inferred← citeshttps://doi.org/10.32920/23332712openalex-snapshot
Cross-Platform Profiling and Tuning Framework for Design and Development of Heterogeneous Applications
inferred← citeshttps://doi.org/10.32920/23332712.v1openalex-snapshot
Cross-Platform Profiling and Tuning Framework for Design and Development of Heterogeneous Applications
inferred← citeshttps://doi.org/10.3850/9783981537079_0357openalex-snapshot
A Fine-grained Performance Model for GPU Architectures
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